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Remnant renal volume can predict prognosis of remnant renal function in kidney transplantation donors: a prospective observational study
BACKGROUND: Safety and survival during and after donor nephrectomy (DN) are one of the main concerns in living kidney donors (LKDs). Therefore, kidney (left/right) to be procured should be determined after considering the difficulty of DN, as well as the preservation of remnant renal function (RRF)....
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572493/ https://www.ncbi.nlm.nih.gov/pubmed/34742246 http://dx.doi.org/10.1186/s12882-021-02568-8 |
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author | Hori, Shunta Tanaka, Nobumichi Yoneda, Tatsuo Nishimura, Nobutaka Tomizawa, Mitsuru Nakahama, Tomonori Nakai, Yasushi Miyake, Makito Torimoto, Kazumasa Minamiguchi, Kiyoyuki Fujimoto, Kiyohide |
author_facet | Hori, Shunta Tanaka, Nobumichi Yoneda, Tatsuo Nishimura, Nobutaka Tomizawa, Mitsuru Nakahama, Tomonori Nakai, Yasushi Miyake, Makito Torimoto, Kazumasa Minamiguchi, Kiyoyuki Fujimoto, Kiyohide |
author_sort | Hori, Shunta |
collection | PubMed |
description | BACKGROUND: Safety and survival during and after donor nephrectomy (DN) are one of the main concerns in living kidney donors (LKDs). Therefore, kidney (left/right) to be procured should be determined after considering the difficulty of DN, as well as the preservation of remnant renal function (RRF). In this prospective study, we investigated the roles of computed tomography volumetry (CTV) in split renal function (SRF) and established a predictive model for RRF in LKDs. METHODS: We assessed 103 LKDs who underwent DN at our institute. The Volume Analyzer SYNAPSE VINCENT image analysis system were used as CTV. RRF was defined as the estimated glomerular filtration rate (eGFR) 12 months after DN. The association between various factors measured by CTV and RRF were investigated, and a role of CTV on prediction for RRF was assessed. RESULTS: The median age and the preoperative eGFR were 58 years and 80.7 mL/min/1.73m(2), respectively. Each factor measured by CTV showed an association with RRF. The ratio of remnant renal volume to body surface area (RRV/BSA) could predict RRF. In addition, RRV/BSA could predict RRF more accurately when used together with age and 24-h creatinine clearance (CrCl). CONCLUSIONS: Our findings suggest that RRV/BSA measured by CTV can play an important role in predicting RRF, and a comprehensive assessment including age and CrCl is important to determine the kidney to be procured. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-021-02568-8. |
format | Online Article Text |
id | pubmed-8572493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85724932021-11-08 Remnant renal volume can predict prognosis of remnant renal function in kidney transplantation donors: a prospective observational study Hori, Shunta Tanaka, Nobumichi Yoneda, Tatsuo Nishimura, Nobutaka Tomizawa, Mitsuru Nakahama, Tomonori Nakai, Yasushi Miyake, Makito Torimoto, Kazumasa Minamiguchi, Kiyoyuki Fujimoto, Kiyohide BMC Nephrol Research Article BACKGROUND: Safety and survival during and after donor nephrectomy (DN) are one of the main concerns in living kidney donors (LKDs). Therefore, kidney (left/right) to be procured should be determined after considering the difficulty of DN, as well as the preservation of remnant renal function (RRF). In this prospective study, we investigated the roles of computed tomography volumetry (CTV) in split renal function (SRF) and established a predictive model for RRF in LKDs. METHODS: We assessed 103 LKDs who underwent DN at our institute. The Volume Analyzer SYNAPSE VINCENT image analysis system were used as CTV. RRF was defined as the estimated glomerular filtration rate (eGFR) 12 months after DN. The association between various factors measured by CTV and RRF were investigated, and a role of CTV on prediction for RRF was assessed. RESULTS: The median age and the preoperative eGFR were 58 years and 80.7 mL/min/1.73m(2), respectively. Each factor measured by CTV showed an association with RRF. The ratio of remnant renal volume to body surface area (RRV/BSA) could predict RRF. In addition, RRV/BSA could predict RRF more accurately when used together with age and 24-h creatinine clearance (CrCl). CONCLUSIONS: Our findings suggest that RRV/BSA measured by CTV can play an important role in predicting RRF, and a comprehensive assessment including age and CrCl is important to determine the kidney to be procured. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-021-02568-8. BioMed Central 2021-11-06 /pmc/articles/PMC8572493/ /pubmed/34742246 http://dx.doi.org/10.1186/s12882-021-02568-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Hori, Shunta Tanaka, Nobumichi Yoneda, Tatsuo Nishimura, Nobutaka Tomizawa, Mitsuru Nakahama, Tomonori Nakai, Yasushi Miyake, Makito Torimoto, Kazumasa Minamiguchi, Kiyoyuki Fujimoto, Kiyohide Remnant renal volume can predict prognosis of remnant renal function in kidney transplantation donors: a prospective observational study |
title | Remnant renal volume can predict prognosis of remnant renal function in kidney transplantation donors: a prospective observational study |
title_full | Remnant renal volume can predict prognosis of remnant renal function in kidney transplantation donors: a prospective observational study |
title_fullStr | Remnant renal volume can predict prognosis of remnant renal function in kidney transplantation donors: a prospective observational study |
title_full_unstemmed | Remnant renal volume can predict prognosis of remnant renal function in kidney transplantation donors: a prospective observational study |
title_short | Remnant renal volume can predict prognosis of remnant renal function in kidney transplantation donors: a prospective observational study |
title_sort | remnant renal volume can predict prognosis of remnant renal function in kidney transplantation donors: a prospective observational study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572493/ https://www.ncbi.nlm.nih.gov/pubmed/34742246 http://dx.doi.org/10.1186/s12882-021-02568-8 |
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